Training Output

Epoch 8

1st-Best (Loss: 0.0002, Image Index: ('005129',))

2nd-Best (Loss: 0.0003, Image Index: ('005394',))

3rd-Best (Loss: 0.0003, Image Index: ('004656',))

1st-Worst (Loss: 0.5105, Image Index: ('001532',))

2nd-Worst (Loss: 0.5260, Image Index: ('001875',))

3rd-Worst (Loss: 0.5574, Image Index: ('001733',))

Epoch 7

1st-Best (Loss: 0.0000, Image Index: ('004656',))

2nd-Best (Loss: 0.0000, Image Index: ('005394',))

3rd-Best (Loss: 0.0002, Image Index: ('002903',))

1st-Worst (Loss: 0.5063, Image Index: ('001875',))

2nd-Worst (Loss: 0.5184, Image Index: ('001733',))

3rd-Worst (Loss: 0.5266, Image Index: ('001532',))

Epoch 6

1st-Best (Loss: 0.0001, Image Index: ('004656',))

2nd-Best (Loss: 0.0003, Image Index: ('002903',))

3rd-Best (Loss: 0.0004, Image Index: ('005129',))

1st-Worst (Loss: 0.5078, Image Index: ('001875',))

2nd-Worst (Loss: 0.5211, Image Index: ('001733',))

3rd-Worst (Loss: 0.5229, Image Index: ('001532',))

Epoch 5

1st-Best (Loss: 0.0001, Image Index: ('004656',))

2nd-Best (Loss: 0.0001, Image Index: ('002903',))

3rd-Best (Loss: 0.0001, Image Index: ('005394',))

1st-Worst (Loss: 0.5045, Image Index: ('001875',))

2nd-Worst (Loss: 0.5136, Image Index: ('001733',))

3rd-Worst (Loss: 0.5251, Image Index: ('001532',))

Epoch 4

1st-Best (Loss: 0.0004, Image Index: ('002755',))

2nd-Best (Loss: 0.0005, Image Index: ('005129',))

3rd-Best (Loss: 0.0006, Image Index: ('004656',))

1st-Worst (Loss: 0.4257, Image Index: ('001875',))

2nd-Worst (Loss: 0.4312, Image Index: ('001733',))

3rd-Worst (Loss: 0.5059, Image Index: ('001532',))

Epoch 3

1st-Best (Loss: 0.0008, Image Index: ('002571',))

2nd-Best (Loss: 0.0012, Image Index: ('000152',))

3rd-Best (Loss: 0.0014, Image Index: ('005394',))

1st-Worst (Loss: 0.3619, Image Index: ('001532',))

2nd-Worst (Loss: 0.3922, Image Index: ('001733',))

3rd-Worst (Loss: 0.4295, Image Index: ('001875',))

Epoch 2

1st-Best (Loss: 0.0006, Image Index: ('005394',))

2nd-Best (Loss: 0.0007, Image Index: ('011129',))

3rd-Best (Loss: 0.0011, Image Index: ('002571',))

1st-Worst (Loss: 0.3566, Image Index: ('001532',))

2nd-Worst (Loss: 0.3863, Image Index: ('001733',))

3rd-Worst (Loss: 0.4244, Image Index: ('001875',))

Epoch 1

1st-Best (Loss: 0.0004, Image Index: ('005394',))

2nd-Best (Loss: 0.0006, Image Index: ('011129',))

3rd-Best (Loss: 0.0008, Image Index: ('002755',))

1st-Worst (Loss: 0.2974, Image Index: ('001532',))

2nd-Worst (Loss: 0.3441, Image Index: ('001733',))

3rd-Worst (Loss: 0.3632, Image Index: ('001875',))

Epoch 3

1st-Best (Loss: 0.0000, Image Index: ('004680',))

2nd-Best (Loss: 0.0000, Image Index: ('000236',))

3rd-Best (Loss: 0.0000, Image Index: ('001364',))

1st-Worst (Loss: 0.6938, Image Index: ('001252',))

2nd-Worst (Loss: 0.7347, Image Index: ('001883',))

3rd-Worst (Loss: 0.7423, Image Index: ('001337',))

Epoch 2

1st-Best (Loss: 0.0001, Image Index: ('000587',))

2nd-Best (Loss: 0.0001, Image Index: ('000684',))

3rd-Best (Loss: 0.0001, Image Index: ('001176',))

1st-Worst (Loss: 0.7139, Image Index: ('001252',))

2nd-Worst (Loss: 0.7569, Image Index: ('001883',))

3rd-Worst (Loss: 0.7645, Image Index: ('001337',))

Epoch 1

1st-Best (Loss: 0.0001, Image Index: ('011700',))

2nd-Best (Loss: 0.0001, Image Index: ('000250',))

3rd-Best (Loss: 0.0001, Image Index: ('000587',))

1st-Worst (Loss: 0.6033, Image Index: ('000151',))

2nd-Worst (Loss: 0.6080, Image Index: ('000110',))

3rd-Worst (Loss: 0.6362, Image Index: ('001337',))

Epoch 7

1st-Best (Loss: 0.0004, Image Index: ('004710', '004711', '004712', '004713'))

2nd-Best (Loss: 0.0004, Image Index: ('004710', '004711', '004712', '004713'))

3rd-Best (Loss: 0.0004, Image Index: ('004710', '004711', '004712', '004713'))

1st-Worst (Loss: 0.1977, Image Index: ('001280', '001281', '001281', '001282'))

2nd-Worst (Loss: 0.1977, Image Index: ('001280', '001281', '001281', '001282'))

3rd-Worst (Loss: 0.1977, Image Index: ('001280', '001281', '001281', '001282'))

Epoch 6

1st-Best (Loss: 0.0005, Image Index: ('004710', '004711', '004712', '004713'))

2nd-Best (Loss: 0.0005, Image Index: ('004710', '004711', '004712', '004713'))

3rd-Best (Loss: 0.0005, Image Index: ('004710', '004711', '004712', '004713'))

1st-Worst (Loss: 0.2199, Image Index: ('001280', '001281', '001281', '001282'))

2nd-Worst (Loss: 0.2199, Image Index: ('001280', '001281', '001281', '001282'))

3rd-Worst (Loss: 0.2199, Image Index: ('001280', '001281', '001281', '001282'))

Epoch 5

1st-Best (Loss: 0.0005, Image Index: ('004820', '004821', '004822', '004823'))

2nd-Best (Loss: 0.0005, Image Index: ('004820', '004821', '004822', '004823'))

3rd-Best (Loss: 0.0005, Image Index: ('004820', '004821', '004822', '004823'))

1st-Worst (Loss: 0.2044, Image Index: ('001280', '001281', '001281', '001282'))

2nd-Worst (Loss: 0.2044, Image Index: ('001280', '001281', '001281', '001282'))

3rd-Worst (Loss: 0.2044, Image Index: ('001280', '001281', '001281', '001282'))

Epoch 4

1st-Best (Loss: 0.0007, Image Index: ('004905', '004906', '004907', '004908'))

2nd-Best (Loss: 0.0007, Image Index: ('004905', '004906', '004907', '004908'))

3rd-Best (Loss: 0.0007, Image Index: ('004905', '004906', '004907', '004908'))

1st-Worst (Loss: 0.2057, Image Index: ('001280', '001281', '001281', '001282'))

2nd-Worst (Loss: 0.2057, Image Index: ('001280', '001281', '001281', '001282'))

3rd-Worst (Loss: 0.2057, Image Index: ('001280', '001281', '001281', '001282'))

Epoch 3

1st-Best (Loss: 0.0006, Image Index: ('002991', '002992', '002993', '002994'))

2nd-Best (Loss: 0.0006, Image Index: ('002991', '002992', '002993', '002994'))

3rd-Best (Loss: 0.0006, Image Index: ('002991', '002992', '002993', '002994'))

1st-Worst (Loss: 0.2435, Image Index: ('001280', '001281', '001281', '001282'))

2nd-Worst (Loss: 0.2435, Image Index: ('001280', '001281', '001281', '001282'))

3rd-Worst (Loss: 0.2435, Image Index: ('001280', '001281', '001281', '001282'))

Epoch 2

1st-Best (Loss: 0.0013, Image Index: ('004534', '004535', '004536', '004537'))

2nd-Best (Loss: 0.0013, Image Index: ('004534', '004535', '004536', '004537'))

3rd-Best (Loss: 0.0013, Image Index: ('004534', '004535', '004536', '004537'))

1st-Worst (Loss: 0.2112, Image Index: ('001280', '001281', '001281', '001282'))

2nd-Worst (Loss: 0.2112, Image Index: ('001280', '001281', '001281', '001282'))

3rd-Worst (Loss: 0.2112, Image Index: ('001280', '001281', '001281', '001282'))

Epoch 1

1st-Best (Loss: 0.0035, Image Index: ('011302', '011303', '011304', '011305'))

2nd-Best (Loss: 0.0035, Image Index: ('011302', '011303', '011304', '011305'))

3rd-Best (Loss: 0.0035, Image Index: ('011302', '011303', '011304', '011305'))

1st-Worst (Loss: 0.2036, Image Index: ('001280', '001281', '001281', '001282'))

2nd-Worst (Loss: 0.2036, Image Index: ('001280', '001281', '001281', '001282'))

3rd-Worst (Loss: 0.2036, Image Index: ('001280', '001281', '001281', '001282'))

<h2>Epoch 10</h2>

Best (Loss: 0.0006)

Worst (Loss: 0.2314)

<h2>Epoch 9</h2>

Best (Loss: 0.0006)

Worst (Loss: 0.2235)

<h2>Epoch 8</h2>

Best (Loss: 0.0005)

Worst (Loss: 0.2204)

<h2>Epoch 7</h2>

Best (Loss: 0.0006)

Worst (Loss: 0.2018)

<h2>Epoch 6</h2>

Best (Loss: 0.0007)

Worst (Loss: 0.2105)

<h2>Epoch 5</h2>

Best (Loss: 0.0007)

Worst (Loss: 0.2147)

<h2>Epoch 4</h2>

Best (Loss: 0.0009)

Worst (Loss: 0.2168)

<h2>Epoch 3</h2>

Best (Loss: 0.0008)

Worst (Loss: 0.2057)

<h2>Epoch 2</h2>

Best (Loss: 0.0017)

Worst (Loss: 2.3339)

<h2>Epoch 1</h2>

Best (Loss: 0.0041)

Worst (Loss: 0.7797)

Epoch 8

Epoch 7

Epoch 6

Epoch 5

Epoch 4

Epoch 3

Epoch 2

Epoch 1

Epoch 3

Epoch 2

Epoch 1

Epoch 7

Epoch 6

Epoch 5

Epoch 4

Epoch 3

Epoch 2

Epoch 1

Training Output Images